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Call for Papers - SISAP 2024
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17th International Conference on Similarity Search and Applications
Providence, RI, USA, November 4th-6th, 2024
https://sisap.org/2024/
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=== Scope ===
The International Conference on Similarity Search and Applications (SISAP) is an annual forum for researchers and application developers in the area of similarity data management. It aims at the technological problems shared by numerous application domains, such as data mining, information retrieval, multimedia retrieval, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that make use of similarity search as a necessary supporting service. From its roots in metric indexing, SISAP has expanded to become the only international conference entirely devoted to all issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. Since 2021, SISAP has been a CORE Rank B conference.

SISAP traditionally allows for research papers (full and short), application papers (full and short), as well as demo (short), vision (short), and position (short) papers.

The conference proceedings will be published by Springer as a volume in the Lecture Notes in Computer Science (LNCS) series. Best papers will be awarded along with a monetary prize. A small selection of the best papers presented at the conference will be recommended for inclusion in a special issue of Information Systems. These extended versions will be subject to a second round of peer review at the journal.


=== Important Additional Scholarly Activities at SISAP ===
* SISAP Indexing Challenge


=== Invited speakers ===
* We will have three renowned invited speakers


=== Topics of interest ===
The specific topics include, but are not limited to:

* Similarity
* Similarity queries (k-NN, range, reverse NN, top-k, approximate, etc.)
* Similarity measures (graph, structural, time series, complex data, tensors, secondary similarity, etc.)
* Similarity operations (joins, ranking, classification, categorization, filtering, etc.)

* Scalability
* Indexing and access methods for similarity-based processing
* High-performance/large-scale similarity search (distributed, parallel, etc.)
* Data management (transaction support, dynamic maintenance, etc.)

* Theory
* Languages for similarity databases
* Models of similarity
* Intrinsic dimensionality
* Discriminability and contrast
* Manifolds and subspaces

* Analytics, Learning, Artificial Intelligence
* Visual analytics for similarity-based operations
* Feature selection and extraction for similarity search
* Representations learning for feature extraction
* Merging/combining multiple similarity modalities
* Learning/adaptive similarity measures
* Similarity in learning and mining

* Evaluation
* Evaluation techniques for similarity queries and operations
* Cost models and analysis for similarity data processing
* Performance studies and comparisons
* Test collections and benchmarks

* Applications
* Multimedia retrieval systems
* Applications of similarity-based operations
* Industrial applications and case studies
* Similarity for forensics and security
* Similarity search cloud services
* Security and privacy of in similarity search


=== Important Dates ===
* Abstract deadline: July 1, 2024 (AoE)
* Paper deadline: July 7, 2024 (AoE)
* Paper notification: July 28, 2024
* Camera-ready due: August 28, 2024
* Conference: November 4-6, 2024


=== Organization ===

Steering Committee
* Giuseppe Amato, ISTI-CNR, Italy
* Edgar Chávez, CICESE, México
* Stéphane Marchand-Maillet, University of Geneva, Switzerland
* Marco Patella, University of Bologna
* Ilaria Bartolini, University of Bologna
* Oscar Pedreira, University of A Coruña, Spain

General Co-Chairs
* Edgar Chavez, CICESE, Mexico
* Benjamin Kimia, Brown University, USA

Program Committee Co-Chairs
* Marco Patella, University of Bologna
* Jakub Lokoč, Charles University, Czech Republic

Publications Chairs
* Jan Sedmidubsky, Masaryk University, Czech Republic

SISAP Indexing Challenge Chairs
* Eric S. Téllez, CICESE-INFOTEC-CONACyT, Mexico
* Martin Aumüller, ITU Copenhagen, Denmark
* Vladimir Mic, Aarhus University, Denmark

Publicity Co-Chairs
* Conrado Martinez, Universitat Politècnica de Catalunya, Spain
* Cole Foster, Brown University, USA